Data Scientist & ML Engineer (Applied AI for Industry)

Are you ready to embark on a challenging journey of discovering and applying novel Machine Learning and AI-driven solutions in process monitoring, control and optimization for products in different industrial sectors?

The Applied Artificial Intelligence Unit of EURECAT is looking for a highly motivated Data Scientist and Machine Learning engineer to help us pave the way in transforming products and industries to create a smarter, more sustainable future.

• Whether it’s algorithms or data analytics, we’re here to revolutionize the industrial sector.
• Enriching product functionalities by developing cutting edge data driven solutions
• Industrial Control Systems: from single automation devices to complex machines, we’re exploring AI-based approaches across various levels of industrial control systems: Computer vision, Sensor fusion, model predictive control, self-optimizing processes, surrogate modelling, LLM, Agentic AI, etc.
• Collaboration: Join our multidisciplinary team. Learn, grow, and contribute. Be part of the ML-driven industrial revolution

As a valued member of our team, your role encompasses several critical dimensions:

• Code Craftsmanship: Your code will be the bedrock of our innovations. Rigorous validation and refinement ensure optimal efficiency and ready-to market solutions
• Innovative Solutions: You’ll delve into the intricate world of data-driven solutions, harnessing the power of multimodal data across industrial contexts.
• GenAI: Large Language Models are changing the way we interact with data driven solutions, be part of the Agents era for industrial applications
• Modelling industrial settings require novel approaches. Be ready to work with GNNs and PINNs
• TimeSeries analytics: Expect to wield advanced tools like Recurrent Neural Networks and Autoencoders.
• Global Impact: Collaborate on scientific publications, sharing your insights with the wider research community.
• Tailored Growth: We recognize your unique strengths and interests. Your responsibilities will evolve accordingly, fostering personalized development within our team.
• Project Leadership: As you grow and the projects unfold, your adept project management skills will steer us toward success.

This position is located either in Barcelona (Poblenou) or in Cerdanyola del Vallès, near Barcelona (Spain). Besides being well connected to the rest of Europe, Barcelona area offers an excellent quality of life and a vibrant technology ecosystem, with leading research centres, innovative companies, active communities, and a wide range of events and networking opportunities.

Additionally, we offer:

• Permanent contract.
• Hybrid work model (home office and office-based work).
• Flexible working hours, shorter Fridays, and intensive summer working schedules.
• Flexible remuneration package (health insurance, transport, meal vouchers, training, and childcare).
• Professional development through Eurecat Academy courses, weekly knowledge-sharing sessions, and language training (English, Catalan, and Spanish).

Academic Background

• Computer Engineering, Telecommunications, Physics, Mathematics, Industrial Engineering, Statistics, Chemistry, Agronomy, or similar.
• Desirable studies or specialization (Master’s, Postgraduate, or PhD) in Data Science, AI, Deep Learning, Reinforcement Learning, or similar.

• A passion for DataScience and ML, backed by an MSc or equivalent experience in ML, AI, Computer Vision, or a related field.
• Excellent coding skills. Your code will be used in ready-to-market AI applications.
• Proficiency in Python.
• At least 2 years of hands-on experience with Machine Learning, Deep Learning, with a track record of applying AI techniques.
• A collaborative and growing mindset, coupled with the ability to thrive both independently and as part of a team.
• Open minded: Eager to learn new domains: how the industrial processes work and its fine details.
• Dynamic communication skills, allowing you to effectively convey complex ideas and collaborate with colleagues from diverse backgrounds.
• Flexibility, creativity, and a relentless drive to innovate.
• Critical thinking.
• A readiness to travel when needed, embracing opportunities to connect with clients, partners, and collaborators worldwide.